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A remark on empirical estimates in multistage stochastic programming.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F02%3A16020206" target="_blank" >RIV/67985556:_____/02:16020206 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A remark on empirical estimates in multistage stochastic programming.

  • Original language description

    A multistage stochastic programming problem can be introduced as a system of parametric optimization problems considered w.r.t. the Euclidean space with an inner (recurrent) dependence and mathematical (mostly conditional) expectation in the objective functions of the individual problems. Consequently, this type of the problems belongs to the class of problems depending on a measure. The aim of the paper is to treat the case when the theoretical probability measure is replaced by an 'empirical' one.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Bulletin of the Czech Econometric Society

  • ISSN

    1212-074x

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    17

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    20

  • Pages from-to

    31-50

  • UT code for WoS article

  • EID of the result in the Scopus database